{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Deep Learning Models -- A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks.\n",
    "- Author: Sebastian Raschka\n",
    "- GitHub Repository: https://github.com/rasbt/deeplearning-models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sebastian Raschka \n",
      "\n",
      "CPython 3.7.1\n",
      "IPython 7.4.0\n",
      "\n",
      "torch 1.0.1.post2\n",
      "torchvision 0.2.2\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -a 'Sebastian Raschka' -v -p torch,torchvision"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model Zoo -- Torchvision Image Transformation Examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import numpy as np\n",
    "import PIL\n",
    "\n",
    "from torch.utils.data import Dataset\n",
    "from torch.utils.data import DataLoader\n",
    "\n",
    "from torchvision import datasets\n",
    "from torchvision import transforms\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "\n",
    "RANDOM_SEED = 123\n",
    "BATCH_SIZE = 10\n",
    "\n",
    "if torch.cuda.is_available():\n",
    "    torch.backends.cudnn.deterministic = True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1) No Augmentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "##########################\n",
    "### CIFAR-10 Dataset\n",
    "##########################\n",
    "\n",
    "\n",
    "custom_transform = transforms.Compose([transforms.ToTensor()])\n",
    "\n",
    "\n",
    "# Note transforms.ToTensor() scales input images\n",
    "# to 0-1 range\n",
    "train_dataset = datasets.CIFAR10(root='data', \n",
    "                                 train=True, \n",
    "                                 transform=custom_transform,\n",
    "                                 download=True)\n",
    "\n",
    "train_loader = DataLoader(dataset=train_dataset, \n",
    "                          batch_size=BATCH_SIZE, \n",
    "                          num_workers=1,\n",
    "                          shuffle=True)\n",
    "\n",
    "torch.manual_seed(RANDOM_SEED)\n",
    "for images, labels in train_loader:  \n",
    "    images1 = images\n",
    "    break\n",
    "\n",
    "fig, axs = plt.subplots(1, 5, figsize=(9, 3), sharey=True)\n",
    "for i in range(5):\n",
    "    axs[i].imshow(np.transpose(images1[i], (1, 2, 0)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2) Horizontal Flip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "custom_transform = transforms.Compose([\n",
    "    transforms.RandomHorizontalFlip(p=0.5),\n",
    "    transforms.ToTensor()])\n",
    "\n",
    "\n",
    "# Note transforms.ToTensor() scales input images\n",
    "# to 0-1 range\n",
    "train_dataset = datasets.CIFAR10(root='data', \n",
    "                                 train=True, \n",
    "                                 transform=custom_transform,\n",
    "                                 download=False)\n",
    "\n",
    "train_loader = DataLoader(dataset=train_dataset, \n",
    "                          batch_size=BATCH_SIZE, \n",
    "                          num_workers=1,\n",
    "                          shuffle=True)\n",
    "\n",
    "torch.manual_seed(RANDOM_SEED)\n",
    "for images, labels in train_loader:  \n",
    "    images2 = images\n",
    "    break\n",
    "\n",
    "fig, axs = plt.subplots(1, 5, figsize=(9, 3), sharey=True)\n",
    "for i in range(5):\n",
    "    axs[i].imshow(np.transpose(images2[i], (1, 2, 0)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3) Random Rotation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YKfwk8VwihpfN3SjwuB94/wcfScss0NfvwfQ1PebMTUcXYP7Zpaiga6vOtNWltVOlPixTpFwlmY80SSNOEaDmxIjXHicHpvmcZA2OaB3Ht9hn0p9SWjslSvFQUVMPRwjW66jX9atZKrvIpQaZgu4Untnw8PDw8PDwGCneNGYjOWRxuG+JJKinKiQbrc4sGXIQLZATTqhPq3yvgE7jXXL06yYnSYo9v/wKYqxfed49iSwsIc3vE6dwqn3/tyDdcjnr6rhGMfEzE2A+ChnI8Q70tG4pZn1oWUBWHWdvcTod/TOYc0YK1Vkocarlp54h9SM/rvfa7vrKVbSXE60lGhVDYg3imPUuiKXSp6mYxjcmaeVQn5JLIZxRE00QEWhriIisXHdPHez4yHLWIT39lVSeXWjeBcRY5XLu9SBDWhSk19Ds42knya6Uz7vPByPUS5mbA2uTp9TW2w2wHIlce4eeXNZX4Ww4ccg5BXbp6b86Boe9Ajno1nfdd/TJ8bFMsu7xwI1x3CKGKGYGCSioNHyNngRL5ADaoXHrqY4GO5Cy9HmSYG9ATqUxry9aQMneE+tcGQVr+MPf75w9ux04erZIjrxUQP/1h27PeOFljEmjAadbK24tZctYi50u1mKOJPTz2qczU5gXy0eOp+WEGUzSEYjsnZ+8hyay2iFpozAbeP4i0jRsbjn59a1NOND3LLRwThx3LEJ1HE/6PUojsMcRUtsT6GY4qtUzVgajdngBTrS769Adqc04OfKjx8AOnb2KPb7Tdeuh0SEnSkrKWB5D4rpkP2nT2mx2oAGVdAKnpQ8peWKYuZF5DPZkcuNbkY6OjmNEa2NuDo7AiaPuyy+9hDYUaG1RgMWZM6+KiMjCPBzx7xSe2fDw8PDw8PAYKfxhw8PDw8PDw2OkuO9mlMRBKaGMmBqaLIGuXZogJxulktqUeY8dXIpKuXMWSKb8dxqgj63Gl0dEzVvqhqFKOm/vgpLeIqnaMA96+eVVZzbY3KjT60QJl1GuKy0asWZBfIu46DcNRkzgKMyhOvL1yNy0usrZWcl5T3U/rq9cSq81O6CMh9pmdkBiB8RaDRRmRrVLQhrLEmW4zIZurDmTbyjsjIhyo+4oyrXVlfTayeOI7a9VEQOfZngl+rHXJ/lvbW+GuMo+OUZuboEO7Q+UIjfq8MWejPuMjavQGxmfgumvkAV922q5sby2jjqe/drX0vKhrtNkeJi0ZSbG0edtcsBttd08rpGmSoYmb7fpHMd2d8hRkByLuc9N7OZTpou5tEQmFUtU/45147pF5pkOOZsmMulCjsPD6ObyzUH6mcRrW/Yd0dD1Wa9JdRSYTiylU7h23a2ftXXQ6x3SHpmYdqaRPJlLODluNMC9JtShcf4QTL8zU6DMAzVZhmQiZHOUGOoz9U5kp9xOhxzgB5gX+Wxf34v9okOm1GS+VNhMKWgE6w8Zm2gOqel5RLvjN70N5qVaDmt0J0AbBz0337MxTFzzM/idujblfg+619AX2QybPkiPRn+HGg1IzQ9pDiftDsmMkifnWC4npi82MXGqhRLJwhfUaXushjW9fGyZPufas7MNE1i9jjI7lhqdKyxxf6fwzIaHh4eHh4fHSOEPGx4eHh4eHh4jxZsQjaIx7upFO1EB9TNTBT01NwYKdWpcqVeShK43EOc7VnVUVq0G6vjyZVD6AbGEiaZDTPRWpwtqNgm9Z5NOkSJbrqxAhvvZF52n+dU1mAe6FDfdIZo90ThgK8oepYPbZH3dI88eOKq5P2jd8Jl7gQmCVNo7Vk/wRgvU7wqZI/pEoZbLjg6tTVAEhCX6uKemEaJuJyj+nOWIkyCVLFGC2RzKGX0va3PkKJtpNAR1G+gY7+5irqytgx6skJRwQvka8rxnxe2u0tqW6G2eg9s7MFF0u+56TulLlkXfLzxyaFFERP703/5+eu0DH/iOtHxkbiktByoFnSnARHGtjLYXNIIEq0ckoj7buY4oo0rR9fXEGO7VIPPMQGl2NmPmyuSRn0f/9tUs2tiAyWV+BvoSx6dhXruo8yKMcd8VMqvGan6zliInqA7GsjS9Zt+U0WFLIw42iTI3ZK5o11He3nFrpdPBtTEyUxlJdGzQnk6Hon1QlMVxN+cmx9F3rCExHOo85myiZHrco/Njb8xSukMZtFevYY+NBl19L/qZMyTnMknWa46SuDEDsIjIIKlj+qKMBAvT9BtCJoqlSUTytDuu3p0+Xu+QeW5K18HKGkzpgwH2wR5rD2mkTr+NvbNSwDpMdElKlFl3YgKmDxbSGGokD2ugjFHkS5X2trJ+B0f1ZSgqL8i49kyM4zNbG1dR722YTPK6fjO5vdnb7wSe2fDw8PDw8PAYKe47sxHo6T7R0Xj0CJzaxshZtJyjJ0w9xRXLOE0V6GQWqUNev00KafT5cgHOMr34xgQ2XXKCjLvuVJqlk1unAwbhwoWzaItKM45RQqJ2Dwl92qRFkKiJ3jQBHSEgBoNPrXz9dve4F6Sip8qqlCtwiD12kvQUKBlcLuMerXrtXXqdknMNVRujiJMztyAb4r7FcWVWSGXPBniqKOkTOTtDRZSArEdsUl9VCWNyo7p8DcxUido2P4d5mN53SLoi2h8tYnra5AQbZvC0U6mqCmro/gYBJ9/bHzTV6fPsq1CiPMRKq7NwCqwqszFFDND75xfTcqAJwsr05NwlR8swJGZJ39tpYnz7u3h67+n1Ao1PhpgpdvIeatK7kJQ8LTlzV5pgN/sN97kWOZNOlLCuRedWm/QnegNiOYgREXUmtSNMkHf9umvb5g5oh0GX3PlIG0as6588vVwg7Zm44+rb7TJTivey1EJO10dlDMyGYWdqdQC1MTGPhp1Fb9xbWAm5TeqZr5yGLsO6JkMs0hrn9bOx5hwsJ4kRmxyn5Gu0H6dl3QP220H07/70O0Vkr7N3nhRvQ2JNrarb9ht4PW+wNianXRsP07ze2MEe0a1jbZT09212eTm9tjgPh/WpKTdmzFBkScNmSBozCRtVJk0PTpIn5Hxb10R9zz4Dp/ClJWigFJTFr9L35sipe3MTzEaiFl0q8nfdGW7LbBhjftUYs2aMeYGuTRpj/p0x5jX9O/GN7uHh4eHh4eHx5xd3Ykb5P0XkQ6+79jMi8gfW2lMi8gf6fw8PDw8PDw+PG3BbM4q19ovGmOXXXf6wiHxAy58UkS+IyE/f7l5hEEhN9TEeWp4XEZHFadBAGZKv7bZB03Z2HSUUb8A5aaxKiWSU/skIKMtSAFqLv2Oj5aiodaI3meZO6F+W7R1SkiA7AEWWUXoxT2aANjn/RMNv7Bi4h97UOrCzFjuIMr0ZRZzMbf8QRZE0lcauqB7C2Bgc1RpEnWdC0Gih0orhOOLWK1X0/9auo+G2SXuh24UZhhN9JZQtS/4Wq5DGzStN223BuatB1K4R9HnipBjQ+LA08zY5QR5ddkmwCpQAbrgJk1ikDq95Ms+xs1uRaMeixrjHkY5psP+uUeXamN4bbXvp6WfTcp7maUHTAEwcgulkauFwWs4ZR6kWSG5+jBzTDlFCrb46ae+S6SqmRGuRdeOaycPEwc5/bdLJ6Kkz6RQ5TlbJibhJzojbddee7R76fKpA5jc1Y+UqcK7b2iWzA5stdL4ljqIyAjn5YuicDKeKGIchOaXH1CeJBLihNZ6nvcHoes9n0TfZDNZEuYqxjLMuudn5dfTNRI+ShJXcPXIZ7Gkh6f3QlJZYzRlDep2Tom2QPP5VpdpPHUe9eP+6etVJmxfIVlQpIREa644kj8Cp+WafrcbbTdeueof2jQHMq/PzIOrLs8682qU0BV1azz01xQRk7pgYQx9VStg/p1XvZHYW67Bao0Rtus5ylHE0RyadQg5rKpsmykS7OBWGCbAPlovuN+2973sSr5PtrawuDdkirm1uQ1ek1SHHZE3616LfuTvF3e6Cc9baFRER/Tt7m/d7eHh4eHh4/DnFyB1EjTEfE5GPiYw2IZXH3YHHZ2zcu94cNPD4eBw8+PE5uPBjc7Bwt4eNVWPMvLV2xRgzLyJrt3qjtfYpEXlKRKRYKNqFRRf//+QTj4uISMmCyu7sgmZnL1ypO7q13QYlyVEHVY1Jn6qRFG6EWOlsDtTq2YsufrhKscybdVC7V1aclsQ4aXYY8pS2PdBHJ5eWRUTkz15AvPnKNWRCZJNIWi86cJk9aWpvkvWVvMA5eoYzm94reHwWFhZsp+W8p8eqjnorEu3Z63BsPu6RUWnxXLZEFylSQKnXHmks75Ftp2y+OaXfJ6ZJYjmLaIbtbWfm6VLUQrWM79rYwFRMY9HJ1BBFoI9Zc+P0mfMiIrJ8GBSnJW/6RLY4oHsFRAxWK5gvFTUBddpuzIy5ezMKj48h7vOhb3LS4mWiSwtE70aryEzZbbk5u/Yqogd2ziOqKl92JrHxw8fSa1PHltPyOPVJdcK1szqGqIPJKRxS55Wy3R1gTTV7JGHdx/V6y10PSc69xhlkScq5rSaX3hATb5to/EjNkGz+WZiBqW+3ib0j0dWJtDvv5RHoluNz1JkUu5QNuNdHHQYkhR+riScIOMsw5nSm5Pq6RNo0C4uPpeUgM4/7Dt09tluYC6tb6MckU3GpiD5/2zF810wVdYh0vXJqgfUtrJkh7U9JG9ptjG8xw7ogru1jNZgVshRtx9LmJjU33Zv58VZjUzvh6hA1Ub/hJul8kIZJXtfUeovSNlzH57Y33fUMRWzNLWLvmp2BbPzUpDPJlMqYl9kMTJQZNdUYkozPk1m3WsUeE6tpa7eOfbBMKTzyWYxpYl2pkDmU9+9CwX1HhdJr1GiuzS1SJu0rbn9dW8Hv3J3ibkfzcyLyUS1/VEQ+e5f38fDw8PDw8HjAcSehr78mIn8mIg8bY64YY35MRH5eRL7bGPOaiHy3/t/Dw8PDw8PD4wbcSTTKD97ipQ++0S8LgkBKJUfVPPqYE1ZZv/Ry+no85CyBoIFKRRUVGVLGSBIoKmQdJ9RuIcKhsQMhkmoR7z085e5hCqCyXr0AGe5a0Zl5iiRKxHK/+RxFhfRVmrkHerRIJpuICNrUpEKcbUTmkIFSknvEbYYssQwkXt6hcX0UxV3ZDwTGSFk9/JOMnJ06TFtC9eGsrxK7tgXCJgqI2WQ1OmN+AZSivcbe+OShrpkJA8oC2WtQRkU1ufTIm3qbshUOh6jD5KTzjG9QBt9mC/fibJfnzzvp+R55Wc9OYY4kfV7IY8mMkwgOm2qKCZ1pE9PL/vgqTc3Oy3/+A84EXS1p/7TRz5bE5wKKoMq2dV10yQxJ7WxeviAiIi3KXNtcgVxx4+hyWp59/FEREZl720nUi8yXcypcNBhQVEgL9Vohuvyqdv8REpWa6FFWV5rWDZWGjyir8h6tNP3eOrV7Zgam1Nki1nOr7u7VVNNMuE/jszg7Iz/xX32/q7vK2ndpTfRofxuQiSjJChxR1Ee+QBER1WUREcmVIOVensDc7NKc76o8djREn4ch6PWymiTZjBzRzwDvWYnFl+W3N3coGyiFieR0MCIymXU7MJEX8u77QorqMPSsG+yJqnD3zei+bvbB12/ucFn+0k+7aIxkFczO0rw9hP7Ox7h+bc21fX0FfTBsYuJNaJbiGpkSq+OYd7VxiAVW1HySJxNZGGBeJibaTEiZd2mf6/cwzn2NUBpSWohKBea0UDi7rvveUgGmkTAkjXvN1Hvx8vn0Un0X+0OPxMQk0rlCfXSn8HLlHh4eHh4eHiPFfZUrHwwGcl0dMBPl3VOPvyd9/Y//PZzaOKFPqehOxXlytFuYxelxbtad+LfrOH2uEx0R0hPF0oI7/bXotDZWxEm1ptLmxSKeBgI6jdfp5P7lVy+IiMhLxIxEAhYlQzHpiYMnP8VbcghLmhaSwx/HSgfsZKiHXX462g+EmVAm9Ykp+baAZG/DPOrQ7ZOzqDpRlUg+2giegFqajKpSxdNYifo3pjPvUJMFdVhHg1iqWq2i34l+bLXAXHRIIv748kPunuRMvLGJcj6P8empZP3aGhxMs1l8x5FFN28CgzGZIifJDGl5iPZHR1mQ/Xgyez3ml1x96isYn2Ybc7NFGiKJhEEuR5o2pIORrTqHubiN9VNfA7PRIie0bZ3/W6RnsryEJ6qxOemCAAAgAElEQVRST6+TMzelkpIqJZM6ofH9OdJcsasX8OY26jseuLlzaQvaJz1iDSYW3FNbbhyfaRNzNV7Ak/whfWJuaZKtbGZ/5OTDMJDxivv+guqu2BJaz+Nz/Toc7PpRXeuDp80csZ5d6+a/aWOsc8TibjXAYrQGbty7pFk0oLVqRGWuiek5eRhP348tY189VNP1MaSn3C7KAfVbrebanaE10+2iXpvb7voKJbJcoKR7e5gN3Q9SHZR9ENoIAkMpMNy863Wx/8a0Hta2MU7nr7h+7kdoa44ye5aKrq4TpAuUaBSJiJTIeT2n+02WWPk8r0m9zkyoJefpIaXVSOTmC8S05yiFR4YcT2fnD+vnKcVAC/vc1oZjNM6dRuqDc2fhQN5oYt51d5KElW88uaRnNjw8PDw8PDxGCn/Y8PDw8PDw8Bgp7qsZZRgNZV1p0N//whdEROQHPvKR9HVTRia6K5dB6RyZcpTfkQXEL7MZZfn4KVco41qHaK8yyb82Nx09fPbVNK/cHpnzHaU62QQyMw267/IlmHpePO8owQaZZMpV0JNCdFk/ybJIlDrLpCfFPcJn5DAmEVOhrjzo7a8ZRUQQgK0OSKy0bYjOLFKG3jGNyS5XQRmPVeFsuKEZIVfIAYmdw8o1fC6vjmv9EH26tQ76cH3NUYExUeTNOswsU1PkkKX6BLu7eJ0pyj45EyYUZJecfRtET3fVFDNZBR0/jPHe2hiuN5LsqXZ/zSeBgSx3VzOttjbgwGupvmMlULltndPtHqj1DPVDTs15mRLF4Q8wd680QZ1/9ctfcvcnPZP/7O1vT8tP6FoJIowvz5ssm+VU0yW4dg5tbMBMkls+kpafPOZMNRWSRn9pE22/9NWviIjIzCMPpdcqC/h8gxwfJ8pujU6qbkEuuz9mFGNFjDpOJ9oqU1PYs5ZPYH/6pm+G+Xh908nEv/zqa+m1lVX0w/a2m7+9IcxZk7Mk694i3YeGahJ1Mbc7lC02cYoultCPYtjZm/RIZtycniLtjYlx6GQskfmsvuvq1iczZq+Lsc4kc4Ay/PYHWNfBHt0d13eJ4+x+JLkOYiPFnjN1rq66/f7iCpyr2+TgSXIo0uq5PuD1bcj5Np9xdQyFzLMhKlyguZVoCBXJUbNSxvdm1VwfkQtBRH3UJ2fQWPejbI72sw7mTDeEma3ZdWZ+Sxo3cQ9zaX1dneNJE2aLUgWMTUKCvpg4ytewV5zBtP2G8MyGh4eHh4eHx0jhDxseHh4eHh4eI8V9NaNYC7ncF155VUREvv4KOJgKZcP7ylefSctB31E+CxPQNRibQabD8aOOxr3eAaX07NdfTMsTVVCGJ2YcJdQnSilHZpRDi86Uc+od355eW90A5fTypa+n5c2Go7giIYlljhphM4nqb4QUJcNe8Am9z9ldhyRpzOaMQKnQTDbRNNgnut4YEdW36A1dnwyI9i6Q6YTluasqg9sk7YYceaUvHXJ93qWokfVV0PAR6QRMq84Hx/bHFnWoN9w9lo+CIt/aQuTEBkWTLB5S+W3q0wz1+YCzDKsGRZd0TqZnYJK5fMV9R/k4tEKYOh1SJt5OGlWwz2f5OBarHO/zX3pFRESaq8jUWiI9kSKZUXKqGWMotH5PVmWVo85TVtIcRWCdJm3j3uJR97cM09fXvw6T5Myc6//ZBazlgHQF9pgR224eDy9jffXJXDh8DGbVikZRnCQJbDYLvfSC20+eeR66PVNPvCstH33inWl5YsmN6yE1E+yXDopYK0ESdTZwa2H7KkyHwz7vM0tp+dFTql0yB7PExSuY0+fPufK1S5fTayHtWUEWlHar60xLLIMTZmECyOmwciTJNkmMn7sO+nxrw7Xh2ARrGuEnY2kW66OpZpn6NkyWuw3ct6wRGpOknzTsY9zZrGqCov7VPXEfolEG/VjWLrj9+tolt4byJI3famMO1Cowc0zMunrHtNZtRNEk2h+ZDDo8S5EaGYraKuQ1k3YVprUqZbTO6jrrdtGH7T5MPUGA/tzacSb8PgXB5aoUgWSwvnuqByURXo97iFbrdd2+MTaByJjHnlhOy9NL6I/xMfeF/S7q8oe/jzX3jeCZDQ8PDw8PD4+R4r4yG8YYCdXBa2Pbndie/sqX09ff8773puWNBp5sJzSuuUtxxl1KyBRUnFPa2XOvptf+xa99Oi2vXMb1v/ih94uIyFKAk18lj3uVxpwD1CU64f/uF7+Ull84h/j4OGU08PmhxfmtSLH9Y6oVUqF4bI4fH6izIrMZwwFOyxEnblLdkCB5EsVL9wZrROzeNjHT0qXkWjlKzhTr02iziSeVPMV819QRr05PQhlyFLt2FU9x16+7p7epOTzVZkLS1FDNhwHV5cgRJBB77rmvpeXzF5yT8fw8nhhFwExcuoQEegVlVOrkbLq7gznQVeXFZgdPJYsLYNe47a2Oe5oJwkRnY3/O9I1GU774+T8REZGtdVf3AiVqOr68nJZ7c2hnRpPXZepgPgo1MB+xqnr2SV11lXQeCkdPpeV3v9MlgOvSE+zW0+jH18678VufgdPnJI37+Cye5MZUUTGkerdJNrS/dDwtV1SFNNqF9159gH6dKjim5RDtaLaFOdo6D32HdtUxAZmlvU/Q+4HkTjnNftWlxGXXSZWx28T+Vsq7uTVGCboefQjM4bEjrv93qM9PX0V7rn4VZZt1T6EmYIVI9FNfExGSD6NkY3Raq4sn8ZayXxMGzON7n3w8Lc9Ow7mx03J1a+7i2nYdYxmpSmyLWMhru9hLs6z7knf9UFYWxMZ4Ir9bDAdWrq+5Pgnybo+fmabEdjPYbybJqTepV7uNtTMgtiE0bpxD+inNkPN6hhjPgqqBlgrEOnLySg0iGDTh6NneQR9VChibvI5vJPiNYdXZYg7zp6csW6+JudjpYC5ZnatTk/hMfhrtyU+RHpSqm/Zab5xt8syGh4eHh4eHx0jhDxseHh4eHh4eI8V9NaOIiFglGhM9g+dfeD59rd4CRXp9DTH0j885WqtYJWrxccT276qD0yuvwlxy5Srop80N0F7PfM051lXfBgfDhSrRT0qpfvHLz6bXnnvxJXwXaRkk0r8By46TA1xITliJM2dEsdKsoxGrWWJATmQ2Zm0N3DejjkQ2SYy2H4Ho4mLwex1HuRl1yhxGqO+QnCdLFU7k5NrWooRbATl1bqmzaZ+cPkslfH6J9FOef9GN4cY6HB+npkFx5tTDbXcHYzo2DmfF6SnQ9M2moz4vXgSdOz0NSn+K3luv7+j9MZaNBkwjcdHqNczRQgk0bG+Az5WSJGmaNC4I9udMP4xi2dhy37+15WjQI0fgiLn0yNvScuUQrmdVk2N4GeaOHjkbFtR5OSPk5FZBn558B5wrK4vOZHmlTlQySfTvqLNydB191yYH6x0yXc3Mu3Fdevix9FruCMw/bZpPmyob3Yowb7pE4zd1/Wy+jP1kpnExLRdJmtosuHEvZNxc2K8nLhMEEuScSaSkUuqsudAcYP3ERMvXVbOkZjA34xDtDNRca8gRdGMb+8TaOvo3LLl75ClhYIaSeSXrMpODZ2GBJTci9PlQ675F0vPXSNdlcgwfnNBkfJUcm0/xvS3Vemk1QOUPLMlvC5tr3Twcm3H375PM9t3Cikhi3ciW3BgdO/5o+vqRQyfScpYcmtvdxEwC/aQB9afRJJi8xHNkNs3E2Aezqp+RJLkUERn2yDzTceawDs1bibDOuh1anyp9XqqQs+k4nI7DAva2rmpqNOlnwvZh0ot0zFlvZoy0VSxZepr6G22Nlyv38PDw8PDwOGDwhw0PDw8PDw+PkeL+mlEsstgZjT9OqG4RkRe+9tW0PE2h+UX1CJ6cA00UZUAzbqsX/WnSTW01EUdMjvVy5pKjqqYroMWqp8hbXs0oR6dgsikRtQ4fXkldzy3RamI4wgRe1PWmo1UjMkVEpBMQJJkO6VZdyoaZC1GHqTGVWVYdj4Hsl05ALDZyFF9FtTNCyh5YrqKf8gX0T1tNLzyZYqIKmw3XdkONq5OJokjx7pMTzlP8+jboQ9YMyGrmxlmKcNjaArU7pD5fXHSmhM0tjNqZM2fS8uwc7lFVHQDOIJulaKLEOnb2LKIspqZBYU5OQ4o6q2aJhka2xPH+mLkcF5xMOnfP7XV4rn/9j76YlteOHE3L84dd1MzM8eX0WuEQ6t54xUXttK+Crq6dejgtL7zzibRc12ignU1E6mQ7WGuxmt36Q8rk2yU6vYnvaGy59wYCc8iRxxBZVLO47yDr7rEbYa6PFeHVP33SmUUnTyKCpUNaFSUy0c6oCTcz3OdsvEEggWY+NsrZs+YCLWFpkTT0+oqjzSm7gZTHyaSi3VenaKKLnJVzFSbjJMmsGcf4hgXKYB24L4mGGJMeRU9kDaj0WG0Dp68j2uX8CtI1PHwM0TMnltxYTBSwrwYWfZ7RRgQGaz2g/SAe4L39tlvPG9fcXBmSZPfdIpcJ5PC09kPWzbelBayRiTGsXwoClKJmbW3XMZ/bFvvJQDUsAjIDZQxMJ0WKdMprkaXC212SGG+6vu31aO8bYh+l5L2SL7h9sliDiTlPZl2Tx9hEavLI5DEPwjz29aBf07aS7lCWQhwzLGfvKpHP0mS9Q3hmw8PDw8PDw2Ok8IcNDw8PDw8Pj5HitmYUY8xhEfm/ROSQOPf6p6y1/7sxZlJEfkNElkXkgoj8l9ba7Vvdx8GmHu+B2ZvZ7/WVmRsHTT8/4yiumTl42FuDd7/0qoswefEVyKZ2uqDeQuIvt3cdNfelly6k16YroITmNbvfbA7euhMFnMmuWMoQaRKJcRJxIUlvNplYbV1A9R5wNEqU9Iuhz+BeeXIZryi1d/KbvllERJ5+DpEz94JsNitzKqY1rpn+8jnQon0SUmu2YeJpaFbVbEyRNsRQd5VKDMhLO6K2b2yAkg/UY7tagR2tM2CBInev8RrmR0QRPOfIfJZVafhjx0DNZzKIwli5Bkp4YVGzipIMe5so/5zShq0G2niN6OVSlWhL/dtsuT6KY6Ih7wE2jqTX2tKyu2eDxMTOnMWYrK2hbZcuOPPi/ALMkCcegplk4lEnGtUm8aSpQ8h0PHsYESLbz7gooeskxDbXI4G8kmau7KPNvSHJutN6b+n3zTTxemsVdHq+CqrXGNf/ZaL/x9ZJgE0p+fIS2lhcRMRZbRt0dUlNhd0zLjLGdvcpe7IxYopqJhhqP+xiHzIk8NTrYM4mpomr6xiztz0O09WUyu5HZHq5ehERco2NlbQ81PtOkly1WJhUWpFbz5Zk4VmuPRNi3KzO5GEWJp12H2Py/BV8x66ahB+Zpb20jP2ioPfNlUDlF4q4r6W+mVAJ70jcfM5lLsi9opAL5ZHDznyy03Mmn24Xe/x2Fn3YouibftftIbUC9iM2IcdJNApF37HUf5FMWFkVYYwGMJP0+pziwf02dMjU1KAsusUiMu7mSm59ZvIwnViDOka05wyTiBgykQVZEhbTKoYRZYWlKBjbwvooJ1LydK87xZ0wG0MR+W+ttY+KyHtF5BPGmMdE5GdE5A+stadE5A/0/x4eHh4eHh4ee3BbZsNauyIiK1puGGNeFpFFEfmwiHxA3/ZJEfmCiPz0N7yXWOkM3UltoqwJ0SgJV54cUSbHcSKcm3FeT+PjcCTbYae/0+6U/woxG5y7x+xxoHQnspUtnCi/dh7Jux5bcCf3SgYn1aMzOAWeW8dJs9V3p/mQ2AxLJ0oux/rkFRMLYjg4Wx3+2JmQ9TuK9ESwfHRZRES+/T3fJiIiL587LfuBTDYvcwvu3kms+S7Jxu9s4ukwX6CTbeT6pLONfhzQk0o47pgpTrgWk4TyYECy0uqAaMnRrFJB2606CPZJur5QhCNnqYTPJYzC7i6e/ufm8MSeaL2IwPmuRAnMmg1iSTQGfekE4vH5CWhjE06qeXViDZUNYe2Ve4MVo+xRouA+oHnepj7vkw7Jtvbp5Qtwbn3x+a+k5UV1Jp2sYX1VOxj3q6fxufMvO5ZklxxT+108cddyrs0FSjgYkLbMgNivgc6H4jZ0BbJ5PNXVhpCZz6iOQ568KBcMGJH8qtNvWL0Klqw4g6e+xSk8kVeUFXvswz8k+wljjBh9Og2VIbPkBG5amIcFSqR2TtfvxvOQ2q9vQo/i/d/2ne5eXTAJOztgloIcpQ7ouc8dLuEp9+0nwWzUh67/tjtYv50+2KaVNTB/6+uuzEkGLc3lHXqaj7tu7kxl4bB4qIL9a7KmyQD7mBc9mrwxabWMFd0a/ZGf+19kv5ALQ1nQ35SgqVpPHexX9Q7acmUdfdttuzrOj4MlO3UEe8DcnNvbkhQSIiIB6R5FIfajRAk+pFQNBXLazGq53sF4DG1Er4MJyhXd95oAn4/IeXrvOtOgjAB1ybC0uUqmD9Yx9pkI8yMsgcmpN9y+8rM/9Sl5o3hDPhvGmGUReaeIPC0ic3oQSQ4ks7f+pIeHh4eHh8efV9zxYcMYUxGRT4vIT1lr67d7P33uY8aYZ40x++NY4LGv4PHZ3d25/Qc87it4fJgV8zgY4PGpN5u3/4DHfcOeva1x7+GzHveGO9LZMMZkxR00/qW19jN6edUYM2+tXTHGzIvI2s0+a619SkSe0vuk/NHxR94lIiJ9itHv7MJBqloGDTiumVJrJVChZ69C9vilF19w9SS5ZRMTdb2n6P6TJRPFygbOTqevOarz7Ytw+Du1BOr9zBom7WsrjjpnOWo2nQibUZRyjG7xeiiJEyXVlRwqOavgMc3C+a53uiy5pdKvyt2Cx+fUqYdsS50aTc/Vd4cyVWZottSqJN+rMejtHt7bI6c7o1RiEGJM+xE5v5YgjT2pHXBpBVRmnvp3VrVWIhLfSOTbRUTGxjBuGaW0hyQTbQK898hRaDJcvHhePwOTzMQEOV/pD32eJH0vXYOkep+cVE+ddDRroZBkFb37oC8en2yYs3m91TBw5gZLIjJDSv87oINJ0nxWGG6TGXJHx3x6EuRkbRJ0eKuOcX3x+edERGSjyWYjTIydjmYKpTZjdEWKZN/MKZ18rQOTTLyKfpxsYj+YnnU0dmUKzqrlMiSZF8qOVp4iB9IhUcET4c0dr+8VPD7Hjxy2iQOz1UyuGdLrGQrMKBUat8fnXDu+dh7tffqP/zgttzRr7/xJOPXG5Mz75NtxfeW828syMcxgi2No78OLyyIist7CtR0a32tXkOF687rTPeKsq0XKWLrbwFhVs04qvziGNBJBkfaAIHFSJG2hLGVzpW2RrDb3hD1725EJG3ed2XNMpdp7Mcm807o+fhSaG2vrziy3sQlTor04oPe6dk/UsHbKRZiEAs7qmnH7QUDOlTnab4a6ZuMQ4xEWqL9IOyPMurIVmB35YSQm84skDqcZ0luhTm43XBt3rsFJ9iSlDVhYfjIt//b/+5TcLW676owzOP+KiLxsrf0leulzIvJRLX9URD5717Xw8PDw8PDweGBxJ8zGt4nID4vI88aY5/Ta3xSRnxeR3zTG/JiIXBKRj4ymih4eHh4eHh5vZdxJNMofi9xSD/uDd/vF7/sL/4mIiIQUd1+woI/MNqTHD81q7DxR1btb8Dqv7zhTzMwUvNejIXn0DihzqcpZh0RfSRbdcE2tOg+HoAuPL8Fz99Q66nBZzS9Dw1ElVGSV6sRkQhEZ/N4kcoE1QWLqmyzFbicyu4c0s2f2LqRjb4bhsC+bG858ESvVV6kitrtaQplNF1apY+7zDHH2/bbr1BxFGFXGYKJYJ52NZErOTMHzertJEUAtN34xmd+mZlCvMmUGFjWVWQN6cXMH5oNyGQT/wqIzfVy6iHnHbcwqDb9+DZETGyvQ2dii6IHxmps701PqMS77AyM29XTPhW4+DEjDgqOuYp5c9I4E/Gq35+bk2gba8NILiIyI+5izq+uOai3WYBJ7x7d+a1oOdS1ceOGF9NrZqzAP5OlexzQyaHwKc2GzDmp79dorabl43Zm55g8tp9dmlxAVMLXkTGK1KdDZpTzGr0eRRy0y0e03kqmWRKUEBVDfpSnoBEUh5vwjSo9XJ0DfP/MKMlj/4Veecfd8BVL7vD6OHMK+195y9PhL5zDP11sYi8PHXQVD0s/p7oly2aXr7r1szmXtoJh0d9qq77HVhJl5o4h1V552JnCbw/337JXE+mey+ywjLyImDCSjui0Ftdl0SCI9pHEKaQ8pq0z+ehZrY3sbURunL7p2z8xgLp5cfigtj5Xw2xHrPpmhSC0x2BPbqpnTJI0o/m2amIE5PwxcWyJyFzCUYZbzXiQaNWJIR6OPtnd33D42SdpGk5OYq0VKWfGQmvBF/j95o/AKoh4eHh4eHh4jhT9seHh4eHh4eIwU9zfrK+GhkyddBUikp5KnjKnXQWWFRrNnDuFhnVDVIiLf9r7/SEREju6AJmIZ9FyWhGRUiGt7FzT8kKJCaipEE5A41BES9Xp4B1TVStvRiLs9fP7KKqh1lh6XNOshLjHVFaiU7V7LC/5XrYDmm1J6vtt17bX7FBIZx7F0VR7XhG5cilOg1gID01O3yxlrHaWfDfE6tyNUoaZWB2ayjVVEM7x6FqYJo1E7C9MwjQyGJLhzxWW4ZBNHTxA50aUoleuXr2pdQUvWadwnJkBFH1tedvciMatrGyRHrnLxi9Og/GtVzIutOqjoi+cd5Z/VOjL1fC8wxkhePemNRnJEJKwUEKXajzA+Nh2Nm5tRQqVZjYDSPXMG3vcmgOkjkZw/tQja+IMf/I60PK70/kuPIULi2f+AqPfTL0J471U1u2000ecLJCBUnaboGqX3+6sX0ms7O6C2Z66667NHT6bXKocwvqaC+TIw+zMer4cREWXdJVDKPOQIgCqtJTZJ9lz7j09iDuUnsd6zk+69X33+fHotRwM47JMcvGYJbZKA2M4ZRNudv+RMAAXq5z7tlV0yc4VZN9cTM6mIiKUoo1wJleioqfTZL/1hem1AYmJz4xqhRaJtEmPv50wHQ3szE+C9YWitbKoZvqzN6ZLUf0DrfjKD9s6WXB1rCzCHdGdQv+2W67v+AJEc586jMc0GMpkXis4cMTGJsScrqDQ77r6ZIvpos4E5vnwcEvaxTfYWfBdVe8/6TqxgHZoTnW2YNicKrg3lIzArmzJFs8WIuvvYT/5DuVt4ZsPDw8PDw8NjpHjTmI2f+Ph/ISIin/zUH6TX8nmcdIeUdGZrw53GJ3dwdCvl8fpjjz0iIiLzFtd2GuTo1KGEWnn3dMEnP5bLjgfuvZksngaqE6jX0hLe+xfm3Pe+cv5Kem2zRVoTQzAtYU7rbtHlloLLE5nmUhFPHONVnDTf/ujjaXlqwsXlZ1Kn0f1xqIqjWFqafCynLFNjB/0wtBSXTjMn0KfsHD21dBv0lKYOUe0BOTMO4aAUWFzf2XXf16GnDkvS5r0kgRRRRGvbYEk4bj2jlSzkMH6PnMKTLydJGijrUs6jYUNiz+rquLi1C8e7EyfJEayNNlxW9iU87+rd61EiuXtEoiWTJHXK0UAwm5elWP5ImS+7R3AGY5XVmP1MiP7oEVsWEUtSLqp+BC2gl7/85bR8/GHnQHby+OH02uISnM1ee8e70vKLX3NpBlYunU2vra3gKWqKHOmmVEZ+jFiudhcs1dZlNwdWt/CEOTMPrYC5h6Cp8qOf+4yMBFEkVudtkNSdNEjYkZwZj0QzwxDjslDFnH3/w67uZXr671BCyA7NyYZqJkiEdZsnTaGhOoPutklunpKyxczGBjpvWJacE0VSuadVH2bB3mQM2GE7TPZF3nlRr4CYSiEtnP1CLCLdMEmG6a61KCFa8zrmnY3BhM6qHHkli/WSC0krZsxdj0kKvN/H3hdHpCOlejKXLuLz3R79ptV0zQzRh+cvwhk1iv8oLb/3HS5VRRCxtgYFCtDa2d5yElgvfO1P0mu7176elr/7fY+KiIjNY59qWbC6cWt/xsMzGx4eHh4eHh4jhT9seHh4eHh4eIwUb5oZJUGrgXjzfBFxxJOafVREZH3daR+sXkN8fHkaVU98mprk99WiTIaWKMcd1XSw5Eg4ThLXFc3WWKFY6ygD56HZGTg9DfqO7nrpPKTTs0SxmT1nOaXLiEotFRG/fHzZOVA9dOLR9NoTj78D5UdwfaLiPldWajkM94t2tBKpjG1XHb5WujB3cIbeEsmVZyNHv2XJQ2lA77XqfDXsg44tZdFPjz+EjIqXrjnKr9MhExTJnPd03FhPY6wGc9P2Fkwqi/NurCyZARbn4UwaUebY6zq3Yoq9ZyfkJLNvn0xyl69epddhvmk2Xd8N1Tw3IJ2X/ULSptyejMNYE112srPJH4rJJzNKRgr6eXyEpY8jy7SvG5crl2E6DCm+P9FUOfkYTEyLx+BM+r73vTMtLyw5M8fTfwKTwhd+7/fS8tUdUNBVlZM+lMNcOESZgacTGpt0CQKSz+9fBR09Ktg4kkHTmS8CrVuGHM0lvvmzXaJNwuaqbBNmkCU1Y5RPYe5+nbLbPnflQlre2HRmpB45RefJ1JZosbDMfbyHimcnYpXPFpa+JhMC9f+cZuR+/KGl9NqxZTjobm07M0XcwVoYq8DZulzmNAP7r7NhjZV+4PokqxLiE4cgdz9epXnTx7wZqDU3U8B+k81hrRs1u6ZmchEJSepnrIr3tttuzbX72K8bbZTrbdffa6vI/HHpEuZtSObkrQW3drJklmqTk+ulqzAnvnLaabacew3aOYtTGPNW15k5B5SdudHGvQoV7M/3As9seHh4eHh4eIwU/rDh4eHh4eHhMVK86WaUyxchwduNQJ0vHQJlWJhwcrz1VXgPDxugeTIqS9wjqdzuEBTf7g4+19NokSqZMDjNYCHrrmfIi9ySaaRSxHszPXd9ehIyw8cWQDkViG7LFx39W6khYubhU4+k5cOL7nPHjhzDvY4cTctjlAXXKHUWqjd4eA9ZRRnGmDSipKd6GzFFja+0pr0AABAxSURBVBCDKgN0v4RKXRdKoEX7BbwhkdSeHAO/WCf56IBo+OUFR2022hT7T7LISTLZuTlEGmTIe73TBPXe2HUmFdZZ2dqE1/l4GXNkdsqNezyASaZDXvqJ/kCf+np7ByabSgXjOj3t5kOzsb8px4MgkHzeUcBtpaMzIWUOLpLOSQd1t8NEkwPXQkGfJRLogwjrJ444gob6QcdynddUF2Pd1XKfxjca4F7zy5jf8zOOOj96BHLbszOg3tdpvrX77r6XyNTQLmMNr6r3/eIExqFbhhlstoD1MzIEoYTlaloWEQmoDSwhbymaKtBIhyxFn0kH/ZfVCJdpkqhYIjPmOYP1U9OAhM0O+qlD90qsuDFL25PJzMY3piGISScmQ2tpLI86LKpmzclF7H/H5hGRlMu472jsYt5026DtWy3U8RN/7xdlv2GMlWwSQhW69oS0x9dKpGvSx3w2Xde3wy7qbSOY/XKaKsJS5GGXTEUBmbBqurdmyNy8uQ1zWRS7uTMk7YwSvbe3C/PK+bPOJGItvve1s5C4v7YKfY4dzRq8ThpQu5uYi5//ExeZsvwQfm9KY3Bp6Oewr98LPLPh4eHh4eHhMVK86czGLp102eGoQo5e+Zx7QolLcOjpkgNiklOI5DBks4ETI5/ME1HO8Ukowi0t4QReKrmnw1zICa5w8i9kcAKvqtLbE09AO+C9T74b9WKtA2Uhxijp1PQUTo+R6gccOwwHq+kJOm1T3HTicJjJ6NNTsD8OVVEUS72uSdPC5HvR9m4Lp2hLqquhdQPQJgfDYhVsT2/LqdWN05PmyaN4imv0yJk04+5V7+Hk/epZKCe2t1ys+qtb0AkYq2BeZMlhMtKnjRapIvYpAZFY1KFack++c4vQhGD9gVzJPUWvrXLyNTjp7dCT/tysY+WWFt28OnsG7N29wJhAsgVXj5xqMwx6YHL2zFNm5iRhNshBlJ4zjD4ZB/SEzE8h9nX/ExHpkbrtLj2hXrrq+oc1P/rkuNYj5qk67fppaxWOtt0eHHDbpDibU32P46fgePoQac9MqINid5e0YFhXpIa1JH8Elcv9RJDJSF5ZzlDXZEhsUhCS8yWVY9XByJBKsCE9kSRRXoYSph0eB4v17Q9hzh5R5dEzV/EU/NI1lHdTx2uqF2trhOxYnCRiI2aDfNE58ddQVWDXzsOh8RDpJiXsVXGG1H7JcbpZp3U5AgRipKRjUlAV3gwp7iZaJyIiWWJvEo2gATnJtshpPlLmIyR2ddiiZJr0uVLVMYc56sRqifZX3XvHK+i3ucegD7OzAVb29BmXgL1GCs/VGdT7cJWSXm66+gY5zK/TL0G1+ewVt3cdOgKF0vFJ/CZ+z/f9uOwHPLPh4eHh4eHhMVL4w4aHh4eHh4fHSPGmm1H+0S//vbT8t/7W30/LW+ugqys5dybKUaIvMyBnUI0pL5HWwYD0O8IsnMYm1HySz+O9WZKiTTQbJkguONdGuUPaDJNFZxKpleHUFpB5ISDauqzObBUyJRhyNixPjOvroMVyJJ3N5oFsGofu/hqzP2YUa22aqE6U5u2T06BQ2woVkvrW9/RJR4Bj0UXjw69egB5JZhx06twCTEcNdWacPQw9E5JEkYxS/V1ySrTRzdufSiAb9ClrXqxuwtRWb7nruRwoTnYSTqThC+RYXCqDeq2TZPTKdRfjXim7fhkSJX5PMEaMtimTVW0McpiMhhirDM2tosq1cz44No3ECdW/Zx7RWqLPDVXzIbJkJiFKvqEevNeuY/31O6jX9hb6yWobXr2ApFCra3BsG5Ip5j3vchTvBz74Xem1Q4ugeoc6SZp1mF6aTZj9fuHv/A8yatg4lkj3ojQ5Ipk/MyXMw4gkxBMzSkyJDnNjMPNadcodbMDcVBiinSdmsBYXxt13PDSPzx9bhbn2tcuOiq+TjkKPzIXDPc6irv/ZxJDI1YuITFVBy8+UXBsqAhOD3cUe3r3u7pEhc1ahRtoVZDIeBc6f35Ef/KHfFhGR3/udH3N16WO+50hjwhqUk7WRK2BsGuQAOtB7VIoY27Ea9ggbkHR54OZjRPtoNsA4JDLoFXK0HyctkkIO37tzzpmRBzHmeHUMv1MmTw7GJVfHLKUAWVtD36+pk2p/gM8vH4U2zn7BMxseHh4eHh4eI4U/bHh4eHh4eHiMFLc1oxhjCiLyRXG8akZE/rW19n8yxhwTkV8XkUkR+YqI/LC19p50mcdINpzp4aZS5jmKWpjOgIraqjsa6OTJU+m1mVVoILyyAm9sM+Ho+XIFNFKYITlfpZJLBZg7AoqMMUWKOY7cWa3RI+qR2sP6F7EGuDeaoNXYNDI55r4vS99VniWp4/sAY4zklXLvtlw9AxLXGKugT8bHQdM2m47SpSHZk6k1r+FCTcqIe5liwq+vgR7uqCnmxKPwjJ6ZBP137arrnxxlKLUxzGC9LmjFSL3lB3t0AvDegManr1R1iyIgej3Q/72uUtkDNomAhq3QfIo0Tn44dPPWsg74PaDTa8vXz3z59m8UkeVxRANlwkSPhbJ7UjRJUgoievZgaW3OwplQwNQm1o8Y6uutLlHRZAfbbpD5U00yOy1cM/RdRTI7TGkU17uefCy9lqfXOxoR0yQKe5e+637ARpH0k+g6NddxpEeO5e9pTls1iw4pek1onmam3FhmSH8h3sI8NGTqLGrkyCLJb8+Owcz75GG3x243QLM3exRVQiazxHRYKXImZZLlpnEvJBmW8xiTYg5tCNXEF+/gC4akxWJIM2XU+I+/51fu+L1/+qnvEZE9FmSp029TUU1ghSJ+u4IQbYwC7Cet2LW3R3bJTAl9OK5RKoay7LbaMDvyBruw6CLwYksZzbNknqHs1+2Ou1+viO9dPAIzdWPTXX/l9EvptXJp/3977oTZ6InId1pr3yEiT4rIh4wx7xWRXxCR/9Vae0pEtkXkx/a9dh4eHh4eHh5vedz2sGEdkuNZVv9ZEflOEfnXev2TIvK9I6mhh4eHh4eHx1sadxSNYowJReTLInJSRH5ZRM6KyI61Kd9zRUQWb/HxO0apBGq8TN69w4GjreI6vGUzXQic2JYzo7CJYm4WNNF6+0aP8ALRRByNksvodxh0Ta4Mk0G+Rtlmd9z32g6EhNiDngn3gbJl3/eR75SDCyuiwlAFFTcLKUttmEX/WxIryup1E7EgEEWmaATH8WmIb9nLMJ2srWIsdzVy4TRlojz26NtQProsIiLr1xHBwFLH+Txo3lrN0c9rG4hwaJMgT35PZIkrG4M52G6RbLF6jcf0XelcEZGJCZhReip3vLmxpZ/d/yyWt8OFnY3bv0lxeMwt3SxR/rFl2eo9Sk76F5eGFJkS6/zp7wl9IblzSg3Qi280L7HJKSZOP9Y9QIjCZk/9skYLFAsYkyoJG90PnF+5Ln/pf/75u/78Z/7FP0nLHGAVqCx4dpIEsXrcTxR5F7m5F1r0U0DRJNMFd+PJPJstSDrd8POnlvckEOaKBVRUEwCbgvZkkE3uiPGPyGQZU3TZQcK3/tDv3NH7Xvz9X07LQ8o4HpH8e5LqoJ9jQTfKAl5yczcY0u8VWTOyFRLwGnN76bCH+R7TOtvawW9Sd8f1bUDr+CiZUSYedxLzuRjr5fw5mLn3C3d02LDWRiLypDFmXER+S0QevdnbbvZZY8zHRORjd11Dj5GCx4d9ZjwOBvz6Odjw43Nw4cfmYOEN6WxYa3eMMV8QkfeKyLgxJqPsxpKIXLvFZ54SkadERIwxNz2QJMjnq1TGKWu85p5agipO4/E2Tod94053Wx2c8gYZOGMtn4CDVFHZkzlKnrY4hyeGcY0Dr5KORLEMZ5tWG85Ym5rg5nu/7zu+UbMONHh8lpYWbF5P3YNBrK/jvcwK9AacqCuRASZHMpKe7yc3wQOWzC0sp+VcgeLSleW4vrqSXmv08MGxaacZEBCrYELUZYNYjEiJtyI5uLGWRJfaMGy5OpbJ6bA2DjnzXMHNh1yOko6RfgSzakN9+s7mE7bk7oO+3sj6uVtc3r16+zcpakmiQm4S63Co42lEzx4DIjC4BZHOG2bJ2PE0IhZkqJLzrTq0Ucw8ns6SB8QSjXWlTE/ZI8J+js/3/eWP33N9Pvtf/4grkI4Hd7pRFiqgfjbETO0RptePxcRS7pnLN9H3sbfoAaNjzakVDDFbMTFW+4X7sXYSPP5dn7jte37vd/8bEXmdczaxDUP9OQ6pX8uUcK/d4YUU63tJD4ec4/NEiXSbbh1VxvDe5aNIuvbQsfeIiEiWEsx96Ht+9LbteaO47S5ojJlRRkOMMUUR+S4ReVlEPi8if1Hf9lER+ey+187Dw8PDw8PjLY87YTbmReST6rcRiMhvWmt/xxjzkoj8ujHm74rIV0XkzuOJPDw8PDw8PP7cwNhb8V6j+DJj1kWkJSJ37r321sG0vHntOmqtnbn9274x/PiMDH58bg8/Pgcbb+nx0bG5KG9uO0aJAz8+9/WwISJijHnWWvvu27/zrYUHpV0PSjtejwelXQ9KO16PB6VdD0o7Xo8HpV0PSjtej7dCu7xcuYeHh4eHh8dI4Q8bHh4eHh4eHiPFm3HYeOpN+M77gQelXQ9KO16PB6VdD0o7Xo8HpV0PSjtejwelXQ9KO16PA9+u++6z4eHh4eHh4fHnC96M4uHh4eHh4TFS3NfDhjHmQ8aYV40xZ4wxP3M/v3s/YYw5bIz5vDHmZWPMi8aYn9Trk8aYf2eMeU3/TtzuXgcJfnwOLh6UsRHx43OQ8SCOjYgfn4OA+2ZGUVGw0yLy3eIStz0jIj9orX3pvlRgH2GMmReReWvtV4wxVXFJ6r5XRH5URLastT+vE3rCWvvTb2JV7xh+fA4uHqSxEfHjc5DxoI2NiB+fg4L7yWy8R0TOWGvPWWv7IvLrIvLh+/j9+wZr7Yq19itaboiTb18U155P6ts+KW4SvFXgx+fg4oEZGxE/PgcZD+DYiPjxORC4n4eNRRG5TP/fl7T0bzaMMcsi8k4ReVpE5qy1KyJuUojI7K0/eeDgx+fg4oEcGxE/PgcZD8jYiPjxORC4n4eNG1ME3iIt/VsFxpiKiHxaRH7KWlu/3fsPOPz4HFw8cGMj4sfnIOMBGhsRPz4HAvfzsHFFRA7T/2+Zlv6tAGNMVtxg/0tr7Wf08qra1BLb2tqbVb+7gB+fg4sHamxE/PgcZDxgYyPix+dA4H4eNp4RkVPGmGPGmJyI/ICIfO4+fv++wRhjxGW5fdla+0v00udE5KNa/qiIfPZ+1+0e4Mfn4OKBGRsRPz4HGQ/g2Ij48TkQuN9ZX/9TEfnfRCQUkV+11v7cffvyfYQx5v0i8kci8ryIxHr5b4qznf2miBwRkUsi8hFr7dabUsm7gB+fg4sHZWxE/PgcZDyIYyPix+cgwCuIenh4eHh4eIwUXkHUw8PDw8PDY6Twhw0PDw8PDw+PkcIfNjw8PDw8PDxGCn/Y8PDw8PDw8Bgp/GHDw8PDw8PDY6Twhw0PDw8PDw+PkcIfNjw8PDw8PDxGCn/Y8PDw8PDw8Bgp/n+GSHPD737f+QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 648x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "custom_transform = transforms.Compose([\n",
    "    transforms.RandomRotation(degrees=20,\n",
    "                              resample=PIL.Image.BILINEAR),\n",
    "    transforms.ToTensor()])\n",
    "\n",
    "\n",
    "# Note transforms.ToTensor() scales input images\n",
    "# to 0-1 range\n",
    "train_dataset = datasets.CIFAR10(root='data', \n",
    "                                 train=True, \n",
    "                                 transform=custom_transform,\n",
    "                                 download=False)\n",
    "\n",
    "train_loader = DataLoader(dataset=train_dataset, \n",
    "                          batch_size=BATCH_SIZE, \n",
    "                          num_workers=1,\n",
    "                          shuffle=True)\n",
    "\n",
    "torch.manual_seed(RANDOM_SEED)\n",
    "for images, labels in train_loader:  \n",
    "    images2 = images\n",
    "    break\n",
    "\n",
    "fig, axs = plt.subplots(1, 5, figsize=(9, 3), sharey=True)\n",
    "for i in range(5):\n",
    "    axs[i].imshow(np.transpose(images2[i], (1, 2, 0)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4) Normalize to [-1, 1] range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Min-Max: tensor(-1.) tensor(1.)\n"
     ]
    }
   ],
   "source": [
    "custom_transform = transforms.Compose([\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize(std=(0.5, 0.5, 0.5), \n",
    "                         mean=(0.5, 0.5, 0.5))\n",
    "])\n",
    "\n",
    "\n",
    "# Note transforms.ToTensor() scales input images\n",
    "# to 0-1 range\n",
    "train_dataset = datasets.CIFAR10(root='data', \n",
    "                                 train=True, \n",
    "                                 transform=custom_transform,\n",
    "                                 download=False)\n",
    "\n",
    "train_loader = DataLoader(dataset=train_dataset, \n",
    "                          batch_size=BATCH_SIZE, \n",
    "                          num_workers=1,\n",
    "                          shuffle=True)\n",
    "\n",
    "torch.manual_seed(RANDOM_SEED)\n",
    "for images, labels in train_loader:  \n",
    "    images2 = images\n",
    "    break\n",
    "    \n",
    "print('Min-Max:', images2[0].min(), images2[0].max())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5) Random Color Jitter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "custom_transform = transforms.Compose([\n",
    "    transforms.ColorJitter(brightness=(0.75, 1.25),\n",
    "                           ),\n",
    "    transforms.ToTensor(),\n",
    "])\n",
    "\n",
    "\n",
    "# Note transforms.ToTensor() scales input images\n",
    "# to 0-1 range\n",
    "train_dataset = datasets.CIFAR10(root='data', \n",
    "                                 train=True, \n",
    "                                 transform=custom_transform,\n",
    "                                 download=False)\n",
    "\n",
    "train_loader = DataLoader(dataset=train_dataset, \n",
    "                          batch_size=BATCH_SIZE, \n",
    "                          num_workers=1,\n",
    "                          shuffle=True)\n",
    "\n",
    "torch.manual_seed(RANDOM_SEED)\n",
    "for images, labels in train_loader:  \n",
    "    images2 = images\n",
    "    break\n",
    "\n",
    "fig, axs = plt.subplots(1, 5, figsize=(9, 3), sharey=True)\n",
    "for i in range(5):\n",
    "    axs[i].imshow(np.transpose(images2[i], (1, 2, 0)))\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "custom_transform = transforms.Compose([\n",
    "    transforms.ColorJitter(contrast=(0.75, 1.25),\n",
    "                           ),\n",
    "    transforms.ToTensor(),\n",
    "])\n",
    "\n",
    "\n",
    "# Note transforms.ToTensor() scales input images\n",
    "# to 0-1 range\n",
    "train_dataset = datasets.CIFAR10(root='data', \n",
    "                                 train=True, \n",
    "                                 transform=custom_transform,\n",
    "                                 download=False)\n",
    "\n",
    "train_loader = DataLoader(dataset=train_dataset, \n",
    "                          batch_size=BATCH_SIZE, \n",
    "                          num_workers=1,\n",
    "                          shuffle=True)\n",
    "\n",
    "torch.manual_seed(RANDOM_SEED)\n",
    "for images, labels in train_loader:  \n",
    "    images2 = images\n",
    "    break\n",
    "\n",
    "fig, axs = plt.subplots(1, 5, figsize=(9, 3), sharey=True)\n",
    "for i in range(5):\n",
    "    axs[i].imshow(np.transpose(images2[i], (1, 2, 0)))\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "custom_transform = transforms.Compose([\n",
    "    transforms.ColorJitter(saturation=(0.75, 1.25),\n",
    "                           ),\n",
    "    transforms.ToTensor(),\n",
    "])\n",
    "\n",
    "\n",
    "# Note transforms.ToTensor() scales input images\n",
    "# to 0-1 range\n",
    "train_dataset = datasets.CIFAR10(root='data', \n",
    "                                 train=True, \n",
    "                                 transform=custom_transform,\n",
    "                                 download=False)\n",
    "\n",
    "train_loader = DataLoader(dataset=train_dataset, \n",
    "                          batch_size=BATCH_SIZE, \n",
    "                          num_workers=1,\n",
    "                          shuffle=True)\n",
    "\n",
    "torch.manual_seed(RANDOM_SEED)\n",
    "for images, labels in train_loader:  \n",
    "    images2 = images\n",
    "    break\n",
    "\n",
    "fig, axs = plt.subplots(1, 5, figsize=(9, 3), sharey=True)\n",
    "for i in range(5):\n",
    "    axs[i].imshow(np.transpose(images2[i], (1, 2, 0)))\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "custom_transform = transforms.Compose([\n",
    "    transforms.ColorJitter(hue=(-0.1, 0.1),\n",
    "                           ),\n",
    "    transforms.ToTensor(),\n",
    "])\n",
    "\n",
    "\n",
    "# Note transforms.ToTensor() scales input images\n",
    "# to 0-1 range\n",
    "train_dataset = datasets.CIFAR10(root='data', \n",
    "                                 train=True, \n",
    "                                 transform=custom_transform,\n",
    "                                 download=False)\n",
    "\n",
    "train_loader = DataLoader(dataset=train_dataset, \n",
    "                          batch_size=BATCH_SIZE, \n",
    "                          num_workers=1,\n",
    "                          shuffle=True)\n",
    "\n",
    "torch.manual_seed(RANDOM_SEED)\n",
    "for images, labels in train_loader:  \n",
    "    images2 = images\n",
    "    break\n",
    "\n",
    "fig, axs = plt.subplots(1, 5, figsize=(9, 3), sharey=True)\n",
    "for i in range(5):\n",
    "    axs[i].imshow(np.transpose(images2[i], (1, 2, 0)))\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 6) Resize and Random Cropt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "custom_transform = transforms.Compose([\n",
    "    transforms.Resize((38, 38)),\n",
    "    transforms.RandomCrop((32, 32)),\n",
    "    transforms.ToTensor(),\n",
    "])\n",
    "\n",
    "\n",
    "# Note transforms.ToTensor() scales input images\n",
    "# to 0-1 range\n",
    "train_dataset = datasets.CIFAR10(root='data', \n",
    "                                 train=True, \n",
    "                                 transform=custom_transform,\n",
    "                                 download=False)\n",
    "\n",
    "train_loader = DataLoader(dataset=train_dataset, \n",
    "                          batch_size=BATCH_SIZE, \n",
    "                          num_workers=1,\n",
    "                          shuffle=True)\n",
    "\n",
    "torch.manual_seed(RANDOM_SEED)\n",
    "for images, labels in train_loader:  \n",
    "    images2 = images\n",
    "    break\n",
    "\n",
    "fig, axs = plt.subplots(1, 5, figsize=(9, 3), sharey=True)\n",
    "for i in range(5):\n",
    "    axs[i].imshow(np.transpose(images2[i], (1, 2, 0)))\n",
    "    \n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
